code: def slice_update(inputs, start_indices, updates):
      # Generate list of indices arrays for each dimension
      indices = [
          np.arange(start, start + length)
          for start, length in zip(start_indices, updates.shape)
      ]
  
      # Use np.ix_ to create a multidimensional index array
      mesh = np.ix_(*indices)
      inputs[mesh] = updates
      return inputs
  
imports: import numpy
  import tree
  from keras.backend.common import KerasVariable
  from keras.backend.common import standardize_dtype
  from keras.backend.common.dtypes import result_type
  from keras.backend.common.keras_tensor import KerasTensor
  from keras.backend.common.stateless_scope import StatelessScope
  from keras.utils.nest import pack_sequence_as
label_desc: Use image node_id 12 for calling a global function with example usage: slice_update(inputs, start_indices, updates) and returns: inputs